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Forward Deployed Engineer

Job not on LinkedIn

🔥 23 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

Where this job comes from

Posted on Clarasight's careers page, not through a job board

First seen by Remote Rocketship 23 hours ago

Still open on Clarasight's site. Checked 1 hour ago.

Logo of Clarasight

Clarasight

11 - 50 employees

Founded 2021

☁️ SaaS

✈️ Travel

🤖 Artificial Intelligence

💰 $9.6M Seed on 2022-10

SaaS • Travel • Artificial Intelligence

Clarasight is an AI-driven platform and purpose-built operating system for enterprise travel and expense management. It centralizes transaction data into a unified, AI-ready model and automates approvals, workflows, supplier management, forecasts & budgets, sustainability reporting, and meetings/group travel control to help corporate travel teams reduce exceptions, capture savings, and recover time. The company positions itself as a SaaS solution for large, complex global travel programs and highlights enterprise-grade security, automation, and analytics.

📋 Description

• Own the technical relationship from first discovery call through contract close • Collaborate with the data science team to translate ambiguous, high-pressure business problems into working prototypes and clear technical narratives • Lead technical discovery with prospects and customers • Design and build pipelines across fragmented travel, financial, and expense systems • Reconcile, validate, and shape messy enterprise data into reliable datasets • Build durable frameworks rather than temporary workarounds • Apply AI to enrichment, anomaly detection, forecasting, and automation • Turn experiments into repeatable, scalable workflows • Feed structured customer learnings directly into Product • Turn customer-specific solutions into scalable platform capabilities • Contribute directly to Clarasight's full-stack production codebase

🎯 Requirements

• 5–8+ years in software engineering, data engineering, or technical consulting • Track record of delivering in ambiguous, high-ownership environments • Ability to contribute to production codebases • Meaningful experience wrangling messy enterprise data • Clear communication across technical and non-technical audiences • Ability to move fast and prioritize outcomes over credit • Experience with fintech or enterprise financial systems is a nice-to-have • Demonstrated outcomes applying AI/ML to real operational data is a nice-to-have • Prior experience in a forward-deployed, solutions, or founding-engineer capacity at a startup is a nice-to-have • Exposure to corporate travel, expense, or procurement data is a nice-to-have • Must answer whether employment visa sponsorship will be required now or in the future

🏖️ Benefits

• Generous equity in an early-stage company with serious commercial traction • Full medical, dental, and vision coverage • $500 annual sustainability benefit • Direct exposure to a seasoned leadership team • A role that grows in scope, responsibility, and compensation as we do

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